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Air pollution simulation and geographical information systems (gis) applied to athens international airport

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dc.contributor.author Theophanides, M en
dc.contributor.author Anastassopoulou, J en
dc.date.accessioned 2014-03-01T01:29:49Z
dc.date.available 2014-03-01T01:29:49Z
dc.date.issued 2009 en
dc.identifier.issn 1093-4529 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/19352
dc.subject Air pollution en
dc.subject Air quality en
dc.subject Airport en
dc.subject Dispersion en
dc.subject Emission en
dc.subject GIS en
dc.subject Simulation en
dc.subject.classification Engineering, Environmental en
dc.subject.classification Environmental Sciences en
dc.subject.other Analysis process en
dc.subject.other Athens International Airport en
dc.subject.other Atmospheric dispersion en
dc.subject.other Atmospheric pollution en
dc.subject.other Dispersion simulations en
dc.subject.other Emission dispersion en
dc.subject.other Emission inventories en
dc.subject.other Emission sources en
dc.subject.other Environmental assessment en
dc.subject.other Gaussians en
dc.subject.other Geographical information systems en
dc.subject.other Measured data en
dc.subject.other Numerical simulation en
dc.subject.other Simulation engine en
dc.subject.other Air quality en
dc.subject.other Airports en
dc.subject.other Atmospheric movements en
dc.subject.other Computer simulation en
dc.subject.other Environmental impact en
dc.subject.other Environmental impact assessments en
dc.subject.other Geographic information systems en
dc.subject.other Information systems en
dc.subject.other Pollution en
dc.subject.other Dispersions en
dc.subject.other air pollution en
dc.subject.other air pollution control en
dc.subject.other air quality en
dc.subject.other airport en
dc.subject.other article en
dc.subject.other atmospheric dispersion en
dc.subject.other environmental impact assessment en
dc.subject.other geographic information system en
dc.subject.other kernel method en
dc.subject.other methodology en
dc.subject.other simulation en
dc.subject.other air pollutant en
dc.subject.other aviation en
dc.subject.other car en
dc.subject.other computer simulation en
dc.subject.other electric power plant en
dc.subject.other exhaust gas en
dc.subject.other Greece en
dc.subject.other particulate matter en
dc.subject.other statistical model en
dc.subject.other hydrocarbon en
dc.subject.other nitrogen oxide en
dc.subject.other sulfur dioxide en
dc.subject.other Air Pollutants, Occupational en
dc.subject.other Air Pollution en
dc.subject.other Automobiles en
dc.subject.other Aviation en
dc.subject.other Computer Simulation en
dc.subject.other Geographic Information Systems en
dc.subject.other Greece en
dc.subject.other Hydrocarbons en
dc.subject.other Models, Statistical en
dc.subject.other Nitrogen Oxides en
dc.subject.other Particulate Matter en
dc.subject.other Power Plants en
dc.subject.other Sulfur Dioxide en
dc.subject.other Vehicle Emissions en
dc.title Air pollution simulation and geographical information systems (gis) applied to athens international airport en
heal.type journalArticle en
heal.identifier.primary 10.1080/10934520902928354 en
heal.identifier.secondary http://dx.doi.org/10.1080/10934520902928354 en
heal.language English en
heal.publicationDate 2009 en
heal.abstract This study presents an improved methodology for analysing atmospheric pollution around airports using Gaussian-plume numerical simulation integrated with Geographical Information Systems (GIS). The new methodology focuses on streamlining the lengthy analysis process for Airport Environmental Impact Assessments by integrating the definition of emission sources, simulating and displaying the results in a GIS environment. One of the objectives of the research is to validate the methodology applied to the Athens International Airport, "Eleftherios Venizelos", to produce a realistic estimate of emission inventories, dispersion simulations and comparison to measured data. The methodology used a combination of the Emission Dispersion and Modelling System (EDMS) and the Atmospheric Dispersion and Modelling system (ADMS) to improve the analysis process. The second objective is to conduct numerical simulations under various adverse conditions (e.g. scenarios) and assess the dispersion in the surrounding areas. The study concludes that the use of GIS in environmental assessments provides a valuable advantage for organizing data and entering accurate geographical/topological information for the simulation engine. Emissions simulation produced estimates within 10% of published values. Dispersion simulations indicate that airport pollution will affect neighbouring cities such as Rafina and Loutsa. Presently, there are no measured controls in these areas. In some cases, airport pollution can contribute to as much as 40% of permissible EU levels in VOCs. en
heal.publisher TAYLOR & FRANCIS INC en
heal.journalName Journal of Environmental Science and Health - Part A Toxic/Hazardous Substances and Environmental Engineering en
dc.identifier.doi 10.1080/10934520902928354 en
dc.identifier.isi ISI:000268249100004 en
dc.identifier.volume 44 en
dc.identifier.issue 8 en
dc.identifier.spage 758 en
dc.identifier.epage 766 en


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